P3612Validation of Charlson Comorbidity Index to predict adverse events in elderly patients with Atrial Fibrillation and Acute Coronary Syndrome: an analysis from LONGEVO-SCA Registry

Abstract Background Aging is frequently characterized by the coexistence of several comorbid conditions that increase the adverse prognosis during hospitalization. There are few scores to analyze the impact of comorbidities in prognosis. Charlson Comorbidity Index (CCI). This score evaluates the burden of comorbidity in general population but the influence within cardiac diseases is unknown. Purpose The aim of this study was to analyze the relationship of CCI in adverse outcomes at short-term follow-up in elderly patients with atrial fibrillation (AF) admitted after an acute coronary syndrome (ACS). Methods The prospective multicenter LONGEVO-SCA included unselected elderly patients hospitalized after non-STACS. In this substudy, we analyze the influence of comorbidities in elderly AF patients, comparing high quartiles of CCI (Q3-Q4: high burden of comorbidities) to low quartiles (Q1-Q2) and the predictive performance of adverse events at 6 months follow-up of CCI. Results We analyzed 531 patients (mean age 84.4±3.6 years; 322 (60.6%) male). 128 (24.1%) had AF diagnosis. 91 (71.1%) patients were classified into Q1-Q2 and 37 (28.9%) patients into Q3-Q4. We analyzed the association of clinical factors and adverse events and, after Cox multivariate regression analysis, CCI was independently associated with readmissions [HR 1.19, 95% CI (1.02–1.39); p=0.020) and all-cause mortality [HR 1.32, 95% CI (1.09–1.59); p=0.003]. Patients into Q3-Q4 had higher risk of mortality than patients into Q1-Q2 [HR 5.52, 95% CI (1.01–30.3); p=0.049]. Kaplan Meier analysis showed that AF patients into Q3-Q4 had significantly worse prognosis during the follow-up with high risk of all-cause mortality (p=0.034) and readmissions due to ACS (p=0.027). We observed good predictive performance of CCI for mortality (c-statistic 0.705; p<0.001) and modest predictive performance for readmissions (c-statistic 0.627; p<0.001). Event Free Survival according Charlson Conclusions Patients into high quartiles of CCI had higher risk of adverse events during the follow-up. CCI was an independent predictor of all-cause mortality and readmissions in elderly patients. Indeed, this is the first time to validate CCI to predict adverse events in AF patients with ACS.